Crack identification in plates-type structures using natural frequencies coupled with successful history-based adaptive differential evolution algorithm

Brihmat Chahira, Nasreddine Amoura, Samir Lecheb, Hocine Kebir, Mohamed Abdessamed Ait Chikh, Bassima Tablit
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Abstract

In this study, a new approach, for identification and characterization of straight cracks in plates-like structures, is presented. The finite element method using a commercial software (Abaqus)is coupled with successful history-based adaptive differential evolution algorithm (SHADE) which, ensures the minimization of the objective function based on the mean relative error, that is defined as the difference between the measured (experimental) frequencies of a plate with an unknown crack identity and numerical frequencies of a cracked plate given by the approach Shade/FEM. This method will be applied on a steel thin plate to find the identity of the crack given by length, orientation and centre coordinates. Two strategies are applied to validate the effectiveness of the proposed approach. The first one, is based on the inverse problem using natural frequencies of a plate withknown crack identity obtained by a modal simulation on Abaqus. In the second, the experimental frequencies of a cracked plate were used. With just a population size of 25 and 150 iterations, the results show a good accuracy of the proposed approach with a relative error of the objective function less than 0.8%.
基于自适应差分进化算法的板型结构固有频率裂纹识别
在这项研究中,提出了一种新的方法来识别和表征板状结构中的直裂纹。利用商业软件Abaqus的有限元方法与成功的基于历史的自适应微分进化算法(SHADE)相结合,确保了基于平均相对误差的目标函数的最小化,平均相对误差定义为具有未知裂纹身份的板的测量(实验)频率与SHADE /FEM方法给出的裂纹板的数值频率之差。该方法将应用于薄钢板上,根据长度、方向和中心坐标确定裂纹的身份。采用两种策略来验证所提出方法的有效性。第一种方法是基于利用已知裂纹同一性的板的固有频率的反问题,该反问题是通过Abaqus模态模拟得到的。第二种方法采用裂纹板的实验频率。在种群规模为25次、迭代次数为150次的情况下,所提出的方法具有较好的精度,目标函数的相对误差小于0.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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